Building Multi-Agent AI Systems for Banking: Advanced Workflows and Agent Coordination with CrewAI...

python
 
1    technical_agent = Agent(
2        role="Technical Support Specialist",
3        goal="Handle complex customer issues and provide detailed troubleshooting steps",
4        backstory="""You are a highly skilled technician with extensive experience in resolving 
5        intricate customer problems. You have deep knowledge of the system, can troubleshoot 
6        difficult issues, and offer step-by-step solutions to ensure customer satisfaction.""",
7        tools=[check_knowledge_base],
8        llm=get_openai_llm(model="gpt-4"),  # Stronger model for complex tasks
9        verbose=True,
10        allow_delegation=False
11    )
12
13    # Customer Service Manager - Hierarchical control and decision-making
14    manager_agent = Agent(
15        role="Customer Service Manager",
16        goal="Oversee customer service operations, make decisions on escalated issues",
17        backstory="""You are the lead manager overseeing all aspects of customer service. You 
18        coordinate between different teams to ensure smooth operation, escalate critical 
19        issues when necessary, and provide final resolutions for complex cases.""",
20        tools=[classify_query, access_customer_account, execute_account_action],
21        llm=get_openai_llm(model="gpt-4"),  # Stronger model for decision-making
22        verbose=True,
23        allow
24
25[Read the full article at Towards AI - Medium](https://pub.towardsai.net/building-multi-agent-ai-systems-for-banking-advanced-workflows-and-agent-coordination-part-3-0ec7fe409f3f?source=rss----98111c9905da---4)
26
27---
28
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